摘要
针对电站锅炉煤粉燃烧过程中NOx排放机理模型难以建立的实际情况,取过量空气系数、一次风率、煤粉细度作为输入量,燃烧室NOx排放量作为输出量。建立三个基于向量机的NOx排放模型。研究表明,向量机模型不仅能对训练数据进行很好的训练,而且当预测一种新的工况时,也能对测试数据进行很好的拟合。
With difficult fact of establish in NO release model of power boiler,the research uses excess a.r rauo, primary air ratio,coal fineness as input quantity,and takes NO emission as output quantity. Three NO release model are established. The results show that,the model of support vector machine not only trains training - datas better, but also fits testing - datas in ideal results.
出处
《电力科技与环保》
2013年第3期39-41,共3页
Electric Power Technology and Environmental Protection
基金
1000MW单轴二次再热机组仿真研究项目(D11T30)
关键词
支持向量机
煤粉燃烧
NOx
排放模型
Support Vector Machine(SVM) :pulverized coal combustion
NO release model